Artificial Intelligence and Augmented Reality/ Virtual Reality

(image by Gerd Altmann from Pixaby)


Artificial Intelligence and augmented reality seem ideally suited to one another. An augmented reality application could be significantly enhanced by incorporating AI into it. AI would enable AR to interact with physical environments on a multidimensional level by incorporating real world object tagging. An AR system powered with AI can run millions of simulations, compare current situations to archives, and determine the best course of action.  Images can also be more intelligently compressed with AI techniques, enabling faster transmission over wireless connections without a discernible loss in quality.

AI, VR/AR and IoT all have the same set of dependencies: each requires relatively sophisticated devices, excellent network connectivity and robust cloud infrastructures. And none of it works as well as it should without interconnection among these systems, devices, applications and services.

Artificial Intelligence combined with VR/AR is a potent combination for educating the next generation of surgeons, pilots and even youngsters in school. AI can help to map entire environments in real time and blend the results with a virtual world.

In order to produce any form of interactive virtual or augmented reality some degree of artificial intelligence is necessary. Deep learning (a subset of AI) relies on an influx of large volumes of data in order to expand its knowledge and strength. With virtual and augmented reality, a steady stream of unstructured data (principally, but not limited, to image and video) is pumped into the system for it to work through, with the algorithm translating the data into practical instructions for how the VR/AR system should run.